Machine Learning Engineer 5 - Ads Signals & Targeting
Core
Build end-to-end ML model deployment and inference infrastructure for low-latency real-time ad systems, focusing on identity resolution and behavioral/contextual audience targeting.
Role type
Senior Machine Learning Engineer (Ads Targeting)
Builds
Real-time ad delivery systems and audience targeting features for Netflix's ad-supported tier
Domain
Streaming media, Connected TV (CTV), Advertising Technology
Deliverable
production ML models
Required skills
End-to-end ML model deployment, low-latency real-time inference, ads targeting and lookalike expansion, user and contextual signal design, Java/C++/Python/Scala, multi-threading, memory management, big data processing (Spark)
Preferred skills
Data privacy and governance (Privacy by Design), CTV domain knowledge
Technologies
Java, C++, Python, Scala, Spark
Responsibilities
Design and build user/contextual signals for ad platforms, deploy models at scale, collaborate with cross-functional teams to productionize targeting features
Seniority
Senior, hands-on IC
